Earlier Web usage statistics as predictors of later citation impact

Brody, Tim; Harnad, Stevan; Carr, Leslie

doi:10.1002/asi.20373

Cited by 315 publications

(242 citation statements)

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“…Darmoni et al (2002), Perneger (2004), and Moed (2005) all reported positive correlations between either article downloads and citations or between journal downloads and the ISI IF. Brody et al (2006) and Bollen et al (2005) also reported positive correlations between usage and citation rates. However, the LANL Research Library information services mostly accommodate a community of scholars in computer science and physics.…”

Section: Discussionmentioning

confidence: 81%

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Usage impact factor: The effects of sample characteristics on usage‐based impact metrics

Bollen

Sompel

2007

J. Am. Soc. Inf. Sci.

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There exist ample demonstrations that indicators of scholarly impact analogous to the citation-based ISI Impact Factor can be derived from usage data; however, so far, usage can practically be recorded only at the level of distinct information services. This leads to communityspecific assessments of scholarly impact that are difficult to generalize to the global scholarly community. In contrast, the ISI Impact Factor is based on citation data and thereby represents the global community of scholarly authors. The objective of this study is to examine the effects of community characteristics on assessments of scholarly impact from usage. We define a journal Usage Impact Factor that mimics the definition of the Thomson Scientific ISI Impact Factor. Usage Impact Factor rankings are calculated on the basis of a large-scale usage dataset recorded by the linking servers of the California State University system from 2003 to 2005. The resulting journal rankings are then compared to the Thomson Scientific ISI Impact Factor that is used as a reference indicator of general impact. Our results indicate that the particular scientific and demographic characteristics of a discipline have a strong effect on resulting usagebased assessments of scholarly impact. In particular, we observed that as the number of graduate students and faculty increases in a particular discipline, Usage Impact Factor rankings will converge more strongly with the ISI Impact Factor.

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Section: Discussionmentioning

confidence: 81%

“…Kurtz et al (2004aKurtz et al ( , 2004b discussed the potential of usage data for impact ranking. Brody, Harnad, and Carr (2006) later explored how early article usage statistics can predict citation rates. Shepherd (2007) investigated the feasibility of "journal usage factors."…”

Section: Introductionmentioning

confidence: 99%

Usage impact factor: The effects of sample characteristics on usage‐based impact metrics

Bollen

Sompel

2007

J. Am. Soc. Inf. Sci.

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“…Efforts to maximize public engagement with research, as well as the effectiveness of funding partially motivate these policy changes. Open access publications routinely see greater citation impact rates than restricted access papers (Harnad and Brody 2004;Hajjem et al 2005;Brody et al 2006). Through legislative mandate, the US National Institutes of Health now requires OA to preprint versions of peer review papers that result from government-supported biomedical research.…”

Section: The Shift Toward Open Accessmentioning

confidence: 99%

Googling the Grey: Open Data, Web Services, and Semantics

Kansa

Burton

et al. 2010

Arch

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________________________________________________________________Primary data, though an essential resource for supporting authoritative archaeological narratives, rarely enters the public record. Lack of primary data publication is also a major obstacle to cultural heritage preservation and the goals of cultural resource management (CRM). Moreover, access to primary data is key to contesting claims about the past and to the formulation of credible alternative interpretations. In response to these concerns, experimental systems have implemented a variety of strategies to support online publication of primary data. Online data dissemination can be a powerful tool to meet the needs of CRM professionals, establish better communication and collaborative ties with colleagues in academic settings, and encourage public engagement with the documented record of the past. This paper introduces the ArchaeoML standard and its implementation in the Open Context system. As will be discussed, the integration and online dissemination of primary data offer great opportunities for making archaeological knowledge creation more participatory and transparent. However, different strategies in this area involve important trade-offs, and all face complex conceptual, ethical, legal, and professional challenges. ________________________________________________________________ RESEARCHSince Open Context is operated in the United States, the European Union's database protection laws are less applicable. Similar systems in the European Union would need appropriate policies to insure the legal reusability of database content. Résumé: Les données primaires, bien que sources d'information essentielles pour étayer les récits archéologiques faisant autorité, deviennent rarement de notoriété publique. L'absence de publication des données primaires est également un obstacle majeur pour la préservation du patrimoine culturel et pour les objectifs de gestion des informations culturelles. En outre, l'accès aux données primaires est un élément crucial pour contester les affirmations sur le passé et formuler d'autres interprétations plausibles. En réponse à ces préoccupations, les systèmes expérimentaux ont mis en oeuvre un certain nombre de stratégies pour soutenir la publication en ligne des données primaires. La diffusion de données en ligne peut être un outil puissant pour répondre aux besoins des professionnels de gestion des informations culturelles, établir une meilleure communication et développer des liens de collaboration avec des collègues dans les milieux universitaires, ainsi que pour favoriser la participation du public envers la documentation du passé reposant sur des recherches sérieuses. Cette étude présente la technologie de référence ArchaeoML et sa mise en oeuvre dans le système Open Context. Comme on le verra, l'intégration et la diffusion en ligne de données primaires offrent de grandes possibilités pour rendre la création des connaissances archéologiques plus participative et transparente. Toutefois, les différentes strat...

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“…Although ePublication is reducing the time taken for an article to reach its peak citation rate (16), there is still the opportunity for research into methods of ranking publications via the use of earlier indication metrics. Brody (16) investigates the use of download metrics to achieve this, concluding that download metrics do afford a good early indicator providing the field of research uses distribution techniques which are well controlled.…”

Section: Citation Networkmentioning

confidence: 99%

“…Brody (16) investigates the use of download metrics to achieve this, concluding that download metrics do afford a good early indicator providing the field of research uses distribution techniques which are well controlled. Download counts are much like journal subscription counts where the distributor knows the number of journals it sends out.…”

Section: Citation Networkmentioning

confidence: 99%

Releasing the Power of Digital Metadata: Examining Large Networks of Co-related Publications

Tarrant

Carr

Payne

2008

Research and Advanced Technology for Digital Libraries

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Abstract. Bibliographic metadata plays a key role in scientific literature, not only to summarise and establish the facts of the publication record, but also to track citations between publications and hence to establish the impact of individual articles within the literature. Commercial secondary publishers have typically taken on the role of rekeying, mining and analysing this huge corpus of linked data, but as the primary literature has moved to the world of the digital repository, this task is now undertaken by new services such as Citeseer, Citebase or Google Scholar. As institutional and subject-based repositories proliferate and Open Access mandates increase, more of the literature will become openly available in well managed data islands containing a much greater amount of detailed bibliometric metadata in formats such as RDF. Through the use of efficient extraction and inference techniques, complex relations between data items can be established. In this paper we explain the importance of the co-relation in enabling new techniques to rate the impact of a paper or author within a large corpus of publications.

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Earlier Web usage statistics as predictors of later citation impact

Cited by 315 publications

References 10 publications

Usage impact factor: The effects of sample characteristics on usage‐based impact metrics

Usage impact factor: The effects of sample characteristics on usage‐based impact metrics

Googling the Grey: Open Data, Web Services, and Semantics

Releasing the Power of Digital Metadata: Examining Large Networks of Co-related Publications

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